Triple

T10605408
Position Surface form Disambiguated ID Type / Status
Subject Mapleview, Minnesota E275859 entity
Predicate hasName P744 FINISHED
Object Mapleview, Minnesota E275859 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Mapleview, Minnesota | Statement: [Mapleview, Minnesota, hasName, Mapleview, Minnesota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mapleview, Minnesota
Context triple: [Mapleview, Minnesota, hasName, Mapleview, Minnesota]
  • A. Mapleview, Minnesota chosen
    Mapleview, Minnesota is a small incorporated community located within Mower County in the southern part of the state.
  • B. Mounds View, Minnesota
    Mounds View, Minnesota is a suburban city in Ramsey County within the Minneapolis–Saint Paul metropolitan area.
  • C. Waverly, Minnesota
    Waverly, Minnesota is a small city in Wright County known historically as the rural hometown and death place of former U.S. Vice President Hubert H. Humphrey.
  • D. Vadnais Heights, Minnesota
    Vadnais Heights, Minnesota is a suburban city in the Twin Cities metropolitan area known for its residential neighborhoods, parks, and proximity to Saint Paul.
  • E. Maplewood, Minnesota, United States
    Maplewood, Minnesota, United States is a suburban city near St. Paul best known as the home of multinational conglomerate 3M’s global headquarters.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6df4a5df88190b993196ca7849a88 completed April 8, 2026, 11:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95eb726bc8190a8db7357bd126016 completed April 10, 2026, 8:33 p.m.
Created at: April 8, 2026, 7:32 p.m.